cs.AI（2025-05-11）
📊 共 8 篇论文
🎯 兴趣领域导航
支柱九：具身大模型 (Embodied Foundation Models) (4)
支柱四：生成式动作 (Generative Motion) (1)
支柱二：RL算法与架构 (RL & Architecture) (1)
支柱三：空间感知与语义 (Perception & Semantics) (1)
支柱一：机器人控制 (Robot Control) (1)
🔬 支柱九：具身大模型 (Embodied Foundation Models) (4 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 1 | Towards Artificial General or Personalized Intelligence? A Survey on Foundation Models for Personalized Federated Intelligence | 提出个性化联邦智能，融合联邦学习与大模型，实现高效隐私保护的边缘个性化部署。 | large language model foundation model | ||
| 2 | Applying Cognitive Design Patterns to General LLM Agents | 将认知设计模式应用于通用LLM Agent，探索通用人工智能的实现路径 | large language model foundation model | ||
| 3 | ParaView-MCP: An Autonomous Visualization Agent with Direct Tool Use | 提出ParaView-MCP，利用多模态大语言模型赋能可视化工具ParaView，降低使用门槛。 | large language model multimodal | ||
| 4 | Bridging AI and Carbon Capture: A Dataset for LLMs in Ionic Liquids and CBE Research | 构建离子液体碳捕获数据集，评估LLM在化学工程领域的推理能力 | large language model |
🔬 支柱四：生成式动作 (Generative Motion) (1 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 5 | RefPentester: A Knowledge-Informed Self-Reflective Penetration Testing Framework Based on Large Language Models | RefPentester：一种基于大语言模型的知识驱动自反思渗透测试框架 | penetration large language model |
🔬 支柱二：RL算法与架构 (RL & Architecture) (1 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 6 | Embodied Intelligence: The Key to Unblocking Generalized Artificial Intelligence | 探索具身智能：通向通用人工智能的关键路径 | reinforcement learning multimodal |
🔬 支柱三：空间感知与语义 (Perception & Semantics) (1 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 7 | R-CAGE: A Structural Model for Emotion Output Design in Human-AI Interaction | R-CAGE：一种用于人机交互中情感输出设计的结构模型 | affordance |
🔬 支柱一：机器人控制 (Robot Control) (1 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 8 | Hand-Shadow Poser | 提出Hand-Shadow Poser，解决给定目标形状反推双手姿态生成手影问题。 | bi-manual |